Triple

T6985243
Position Surface form Disambiguated ID Type / Status
Subject Kabylie E161944 entity
Predicate knownFor P22 FINISHED
Object Kabyle language E30636 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kabyle language | Statement: [Kabylie, knownFor, Kabyle language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabyle language
Context triple: [Kabylie, knownFor, Kabyle language]
  • A. Kabyle chosen
    Kabyle is a major Northern Berber language spoken primarily in the Kabylie region of Algeria by the Kabyle people.
  • B. Tamazight
    Tamazight is a branch of the Berber (Amazigh) languages of North Africa, encompassing several closely related varieties spoken across countries such as Morocco and Algeria.
  • C. Berber languages
    The Berber languages are a group of closely related Afroasiatic languages traditionally spoken by the Indigenous Amazigh peoples of North Africa, particularly in countries such as Morocco, Algeria, Libya, and Tunisia.
  • D. Tashelhit
    Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
  • E. Amazigh
    Amazigh are the Indigenous Berber peoples of North Africa, known for their distinct languages, culture, and historical presence across the Maghreb and Sahara regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db91fbc881908c26b7b991995062 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78839d37c8190a127c01e2aeb71ee completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:31 p.m.